A Genetic–Based Tabu Search Algorithm for Optimal DG Allocation in Distribution Networks

This article presents a new optimization algorithm based on integrating the use of genetic algorithms and tabu search methods to optimal allocation of dispersed generation resources in distribution networks. The proposed algorithm finds how much distribution losses can be reduced if dispersed generations are optimally allocated at the demand side of power system. A significant improvement of the proposed algorithm results, over that obtained by genetic algorithm, has been achieved. Numerical examples also showed the superiority of the proposed algorithm compared with the simple genetic algorithm.

[1]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[2]  Harvey J. Greenberg,et al.  New approaches for heuristic search: A bilateral linkage with artificial intelligence , 1989 .

[3]  Fred Glover,et al.  Artificial intelligence, heuristic frameworks and tabu search , 1990 .

[4]  Nostrand Reinhold,et al.  the utility of using the genetic algorithm approach on the problem of Davis, L. (1991), Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York. , 1991 .

[5]  Fred W. Glover,et al.  A user's guide to tabu search , 1993, Ann. Oper. Res..

[6]  Nariman Sepehri,et al.  A computer-aided process planning model based on genetic algorithms , 1995, Comput. Oper. Res..

[7]  D. Shirmohammadi,et al.  A three-phase power flow method for real-time distribution system analysis , 1995 .

[8]  Chanan Singh,et al.  Dispersed generation planning using improved Hereford Ranch algorithm , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[9]  N. Hadjsaid,et al.  Dispersed generation impact on distribution networks , 1999 .

[10]  A. Berizzi,et al.  Distributed generation planning using genetic algorithms , 1999, PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376).

[11]  Andrew J. Roscoe,et al.  Distributed power generation , 2000 .

[12]  Yasuhiro Hayashi,et al.  Application of tabu search to optimal placement of distributed generators , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[13]  Fabrizio Giulio Luca Pilo,et al.  Optimal distributed generation allocation in MV distribution networks , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[14]  T. Basso,et al.  IEEE 1547 National Standard for Interconnecting Distributed Generation: How Could It Help My Facility? Preprint , 2003 .